Automatic language identification using wavelets. Reyes, A. L.; Villaseñor, L.; and Montes, M. In ICSLP 2006 - Interspeech 2006. Proceedings of the 9th International Conference on Spoken Language Processing, pages 401--404. Pittsburgh, PA, USA, September 17-21, 2006, 2006. bibtex: reyes_automatic_2006
Automatic language identification using wavelets [link]Paper  abstract   bibtex   
Spoken language identification consists in recognizing a language based on a sample of speech from an unknown speaker. The traditional approach for this task mainly considers the phonothactic information of languages. However, for marginalized languages - languages with few speakers or oral languages without a fixed writing standard -, this information is practically not at hand and consequently the usual approach is not applicable. In this paper, we present a method that only considers the acoustic features of the speech signal and does not use any kind of linguistic information. This method applies a wavelet transform to extract the acoustic features of the speech signal. The experimental results on a pairwise discrimination task among nine languages demonstrated that this approach considerably outperforms other previous methods based on the sole use of acoustic features.
@incollection{reyes_automatic_2006,
	Abstract = {Spoken language identification consists in recognizing a language based on a sample of speech from an unknown speaker. The traditional approach for this task mainly considers the phonothactic information of languages. However, for marginalized languages - languages with few speakers or oral languages without a fixed writing standard -, this information is practically not at hand and consequently the usual approach is not applicable. In this paper, we present a method that only considers the acoustic features of the speech signal and does not use any kind of linguistic information. This method applies a wavelet transform to extract the acoustic features of the speech signal. The experimental results on a pairwise discrimination task among nine languages demonstrated that this approach considerably outperforms other previous methods based on the sole use of acoustic features.},
	Author = {Reyes, Ana Lilia and Villase{\~n}or, Luis and Montes, Manuel},
	Booktitle = {{ICSLP} 2006 - {Interspeech} 2006. {Proceedings} of the 9th {International} {Conference} on {Spoken} {Language} {Processing}},
	Keywords = {language identification, Spanish, speech technology},
	Note = {bibtex: reyes\_automatic\_2006},
	Pages = {401--404},
	Publisher = {Pittsburgh, PA, USA, September 17-21, 2006},
	Title = {Automatic language identification using wavelets},
	Url = {http://www.isca-speech.org/archive/interspeech_2006/i06_1998.html},
	Year = {2006},
	Bdsk-Url-1 = {http://www.isca-speech.org/archive/interspeech_2006/i06_1998.html}}
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